Daniela Puiu

15.8k total citations · 4 hit papers
49 papers, 5.4k citations indexed

About

Daniela Puiu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Daniela Puiu has authored 49 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 17 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Daniela Puiu's work include Genomics and Phylogenetic Studies (21 papers), Plant and Fungal Interactions Research (8 papers) and Chromosomal and Genetic Variations (8 papers). Daniela Puiu is often cited by papers focused on Genomics and Phylogenetic Studies (21 papers), Plant and Fungal Interactions Research (8 papers) and Chromosomal and Genetic Variations (8 papers). Daniela Puiu collaborates with scholars based in United States, United Kingdom and Australia. Daniela Puiu's co-authors include Steven L. Salzberg, Aleksey V. Zimin, James A. Yorke, Guillaume Marçais, Michael Roberts, Michael C. Schatz, Arthur L. Delcher, Sergey Koren, Liliana Florea and Curtis P. Van Tassell and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniela Puiu

47 papers receiving 5.3k citations

Hit Papers

The MaSuRCA genome assembler 2009 2026 2014 2020 2013 2009 2011 2023 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Puiu United States 29 2.9k 1.8k 1.3k 645 488 49 5.4k
Konstantinos D. Tsirigos Greece 16 3.4k 1.1× 1.4k 0.8× 715 0.5× 777 1.2× 212 0.4× 26 6.0k
Alexis Dereeper France 22 2.6k 0.9× 2.2k 1.2× 615 0.5× 839 1.3× 235 0.5× 53 5.6k
Christa Lanz Germany 40 3.4k 1.2× 4.1k 2.3× 1.5k 1.1× 597 0.9× 484 1.0× 58 7.0k
Shivashankar H. Nagaraj Australia 22 2.3k 0.8× 1.3k 0.8× 937 0.7× 732 1.1× 399 0.8× 56 5.0k
Bruno Sobral United States 46 2.5k 0.9× 2.6k 1.5× 729 0.5× 648 1.0× 776 1.6× 111 6.4k
José Juan Almagro Armenteros Denmark 12 4.0k 1.4× 1.7k 1.0× 549 0.4× 866 1.3× 239 0.5× 20 6.8k
Frank Wright United Kingdom 26 3.7k 1.3× 1.9k 1.1× 1.1k 0.8× 736 1.1× 186 0.4× 59 6.1k
François Chevenet France 14 2.7k 0.9× 1.4k 0.8× 502 0.4× 835 1.3× 261 0.5× 24 5.4k
Ian Longden United Kingdom 2 4.7k 1.6× 1.7k 1.0× 1.1k 0.8× 1.2k 1.9× 202 0.4× 2 7.3k

Countries citing papers authored by Daniela Puiu

Since Specialization
Citations

This map shows the geographic impact of Daniela Puiu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Puiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Puiu more than expected).

Fields of papers citing papers by Daniela Puiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Puiu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Puiu. The network helps show where Daniela Puiu may publish in the future.

Co-authorship network of co-authors of Daniela Puiu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Puiu. A scholar is included among the top collaborators of Daniela Puiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Puiu. Daniela Puiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ge, Yuchen, et al.. (2025). Comprehensive analysis of microbial content in whole-genome sequencing samples from The Cancer Genome Atlas project. Science Translational Medicine. 17(814). eads6335–eads6335. 5 indexed citations
2.
Lake, Nicole J., Kaiyue Ma, Wei Liu, et al.. (2024). Quantifying constraint in the human mitochondrial genome. Nature. 635(8038). 390–397. 18 indexed citations
3.
Neale, David B., Aleksey V. Zimin, Maurice Amee, et al.. (2024). A genome sequence for the threatened whitebark pine. G3 Genes Genomes Genetics. 14(5). 4 indexed citations
4.
Gihawi, Abraham, Yuchen Ge, Jennifer Lu, et al.. (2023). Major data analysis errors invalidate cancer microbiome findings. mBio. 14(5). e0160723–e0160723. 99 indexed citations breakdown →
5.
Battle, Stephanie L., Daniela Puiu, Joost Verlouw, et al.. (2022). A bioinformatics pipeline for estimating mitochondrial DNA copy number and heteroplasmy levels from whole genome sequencing data. NAR Genomics and Bioinformatics. 4(2). lqac034–lqac034. 22 indexed citations
6.
Sork, Victoria L., Shawn Cokus, Sorel Fitz‐Gibbon, et al.. (2022). High-quality genome and methylomes illustrate features underlying evolutionary success of oaks. Nature Communications. 13(1). 2047–2047. 53 indexed citations
7.
Zimin, Aleksey V., Alaina Shumate, Jakob Heinz, et al.. (2021). A reference-quality, fully annotated genome from a Puerto Rican individual. Genetics. 220(2). 8 indexed citations
8.
Torre, Amanda R. De La, Manoj K. Sekhwal, Daniela Puiu, et al.. (2021). Genome‐wide association identifies candidate genes for drought tolerance in coast redwood and giant sequoia. The Plant Journal. 109(1). 7–22. 21 indexed citations
9.
Torre, Amanda R. De La, Daniela Puiu, John Bradley St. Clair, et al.. (2021). Dissecting the Polygenic Basis of Cold Adaptation Using Genome-Wide Association of Traits and Environmental Data in Douglas-fir. Genes. 12(1). 110–110. 19 indexed citations
10.
Neale, David B., Aleksey V. Zimin, Sumaira Zaman, et al.. (2021). Assembled and annotated 26.5 Gbp coast redwood genome: a resource for estimating evolutionary adaptive potential and investigating hexaploid origin. G3 Genes Genomes Genetics. 12(1). 29 indexed citations
11.
Marrano, Annarita, Monica Britton, Paulo A. Zaini, et al.. (2020). High-quality chromosome-scale assembly of the walnut ( Juglans regia L.) reference genome. GigaScience. 9(5). 88 indexed citations
12.
Weiss, Matthew J., Richard A. Sniezko, Daniela Puiu, et al.. (2020). Genomic basis of white pine blister rust quantitative disease resistance and its relationship with qualitative resistance. The Plant Journal. 104(2). 365–376. 24 indexed citations
13.
Torre, Amanda R. De La, Daniela Puiu, Marc Crepeau, et al.. (2018). Genomic architecture of complex traits in loblolly pine. New Phytologist. 221(4). 1789–1801. 44 indexed citations
14.
Zimin, Aleksey V., Daniela Puiu, Richard Hall, et al.. (2017). The first near-complete assembly of the hexaploid bread wheat genome, Triticum aestivum. GigaScience. 6(11). 1–7. 192 indexed citations
15.
Salzberg, Steven L., Adam M. Phillippy, Aleksey V. Zimin, et al.. (2012). GAGE: A critical evaluation of genome assemblies and assembly algorithms (Genome Research (2012) 22 (557-567)). Genome Research. 22(6). 3 indexed citations
16.
Chan, Agnes P., Jonathan Crabtree, Qi Zhao, et al.. (2010). Draft genome sequence of the oilseed species Ricinus communis. Nature Biotechnology. 28(9). 951–956. 366 indexed citations
17.
Puiu, Daniela & Steven L. Salzberg. (2008). Re-Assembly of the Genome of Francisella tularensis Subsp. holarctica OSU18. PLoS ONE. 3(10). e3427–e3427. 4 indexed citations
18.
Salzberg, Steven L., Doron D. Sommer, Daniela Puiu, & Vincent T. Lee. (2008). Gene-Boosted Assembly of a Novel Bacterial Genome from Very Short Reads. PLoS Computational Biology. 4(9). e1000186–e1000186. 40 indexed citations
19.
Puiu, Daniela. (2004). SUPERCONTIGS: a contig scaffolding tool. 736–737.
20.
Collins, Andrew M., et al.. (2004). Partitioning of Rearranged Ig Genes by Mutation Analysis Demonstrates D-D Fusion and V Gene Replacement in the Expressed Human Repertoire. The Journal of Immunology. 172(1). 340–348. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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